Single-time-point estimation of absorbed doses in PRRT using a non-linear mixed-effects model

Hardiansyah, Deni; Riana, Ade; Beer, Ambros; Glatting, Gerhard

doi:10.1016/j.zemedi.2022.06.004

Cited by 15 publications

(8 citation statements)

References 49 publications

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“…All NLME model fittings and simulations were performed in MATLAB software vR2020a. As suggested in the literature, an exponential error model with log transformation was used (15). The MS-NLME is performed using the Akaike weight.…”

Section: Study Workflowmentioning

confidence: 99%

“…Biokinetic data at time points T3=(22.8±1.6) and T4=(46.7±1.7) p.i. were used for the STP fitting as suggested in the literature (15).…”

Section: Study Workflowmentioning

confidence: 99%

“…In brief, biokinetic data of [ 111 In]In-DOTATATE in kidneys from eight patients with either meningioma (n=4) or neuroendocrine tumours (n=4) were used in this study (15,20). An activity of (140±14) MBq of [ 111 In]In-DOTATATE was administered intravenously to the patients as a (51±8) min infusion.…”

Section: Biokinetic Datamentioning

confidence: 99%

“…As a result, the NLME model was able to lower the number of TIAs with a bias >10 % (32 of 500 simulations, 6 %) by a factor of about three compared to the number of TIAs with a bias >10 % obtained from dose mapping methods introduced by Hänscheid et al (9) (102 of 500 simulations, 20 %), and the curve-fitting methods introduced by Madsen et al (12) (85 of 500 simulations, 17 %). Furthermore, we showed that individual dosimetry based on STP data, NLME, and a PBPK model could lead to relatively accurate determination of TIAs in various organs (15).…”

Section: Introductionmentioning

confidence: 96%

“…Several studies have investigated the feasibility of using a low number of measurements for the determination of TIAs in radioimmunotherapy (5), radioiodine therapy (6,7), peptide-receptor radionuclide therapy (PRRT) (3,6,(8)(9)(10)(11)(12)(13)(14)(15) and [ 177 Lu]Lu-PSMA therapy (16,17). Recently, Devasia et al implemented a non-linear mixed-effect (NLME) model to determine the TIAs of [ 177 Lu]Lu-DOTATATE in kidneys during PRRT using a bi-exponential function and singletime-point (STP) imaging with SPECT/CT (8).…”

Section: Introductionmentioning

confidence: 99%

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Single-Time-Point Dosimetry Using Model Selection and Non-Linear Mixed-Effects Modelling

Hardiansyah

Riana

Beer

et al. 2022

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Note: Please see pdf for full abstract with equations. Purpose This project aims to develop and evaluate a method for accurately determining time-integrated activities (TIAs) in single-time-point (STP) dosimetry for molecular radiotherapy (MRT). It performs a Model Selection (MS) within the framework of the Non-Linear Mixed-Effects (NLME) model (MS-NLME). Methods Biokinetic data of 111 In-DOTATATE in kidneys at T1=(2.9±0.6) h, T2=(4.6±0.4) h, T3=(22.8±1.6) h, T4=(46.7±1.7) h, and T5=(70.9±1.0) h post injection were obtained from eight patients using planar imaging. Eleven functions were derived from various parameterisations of mono-, bi-, and tri-exponential functions. The functions' fixed and random effects parameters were fitted simultaneously (in the NLME framework) to the biokinetic data of all patients. The Akaike weights were used to select the fit function most supported by the data. The relative deviations (RD) and the Root-Mean-Squared Error (RMSE) of the calculated TIAs for the STP dosimetry at T3=(22.8±1.6) h and T4=(46.7±1.7) h p.i. were determined using the best model of the MS-NLME (TIA MS-NLME ) and the bi-exponential function from the literature (TIA LIT ). Results The function [[EQUATION]] was selected as the function most supported by the data with an Akaike weight of (39±6) %. RD and RMSE values show that the MS-NLME method has a better performance than the bi-exponential function from the literature. The RMSEs of TIA NLME-PBMS and TIA LIT were 7.8% and 10.9% (for STP at T3), and 4.9% and 10.7% (for STP at T4), respectively. Conclusion An MS-NLME method was developed to determine the best fit function for calculating TIAs in STP dosimetry for a given radiopharmaceutical, organ and patient population. This STP dosimetry based on the MS-NLME method performs better than the STP dosimetry based on the NLME method using the bi-exponential function reported in the literature.

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Section: Study Workflowmentioning

confidence: 99%

“…Biokinetic data at time points T3=(22.8±1.6) and T4=(46.7±1.7) p.i. were used for the STP fitting as suggested in the literature (15).…”

Section: Study Workflowmentioning

confidence: 99%

Section: Biokinetic Datamentioning

confidence: 99%